Dokki Blog
Practical guides to MCP servers, agentic research, AI workflows, and human–agent collaboration for teams building with AI.
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What Is an MCP Server? Meaning, Architecture, and ExamplesThe short answer An MCP server is a program that exposes data, actions, or reusable prompts to AI applications through Model Context Protocol. It does not replace an API or an agent; it standardizes hNotion vs an Agent-Native Workspace: Which Is Better for AI Agents?Notion is no longer just a human-authored wiki with an AI chat box. In 2026, it offers Notion Agent, Custom Agents, scheduled and triggered automation, page-level agent access, connected tools, MCP suConnect Codex to a Shared Knowledge Workspace with MCPCodex is most effective when it can use both kinds of context a team depends on: the repository, files, terminal, and runtime evidence around the software; the shared product decisions, research, launMCP Security Checklist for TeamsMCP Security Checklist for Teams MCP server security requires more than connecting over OAuth or approving a server once. Teams must control which servers are trusted, which identity and scope each coThe AI Research Workflow: From Sources to a Reviewable BriefAn AI research workflow is a repeatable process that uses AI to accelerate discovery, extraction, comparison, and drafting while preserving source traceability and human review. The goal is not to genMCP Server Architecture: Hosts, Clients, Servers, and Protocol LayersMCP server architecture is a host–client–server system. A user-facing AI application acts as the host, creates one MCP client for each connected server, and coordinates the model and user experience.
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01 · MCP Fundamentals
- What Is an MCP Server? Meaning, Architecture, and Examples
- MCP Fundamentals: Servers, Security, and Workflows
- MCP Server Architecture: Hosts, Clients, Servers, and Protocol Layers
- Playwright MCP Workflow: Research, Capture, and Publish
- How to Build an MCP Server: A Practical Production Checklist
- Local vs Remote MCP Servers: Which Should You Use?
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02 · Agentic Research & GTM
- Agentic Research & GTM: From Evidence to Execution
- How to Summarize Research Papers with AI Without Losing the Sources
- The AI Research Workflow: From Sources to a Reviewable Brief
- HubSpot MCP Workflow for Agentic GTM Research
- Best AI Tools for Research: A Workflow-First Comparison
- AI Market Research Workflow for Startups
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- How to Run a Product Launch with AI Agents
- Agentic GTM Workflow: Research, Positioning, Content, and Review
- AI Agent Workflow: Research, Review, Handoff, and Reusable Context
- SEO Audit Template for Human + AI Teams
- How to Monitor AI Search Visibility
- Best AI Visibility Tools for B2B Teams
- AI Search Visibility Metrics: Mentions, Citations, Share of Voice, and Conversion
- AI Search Visibility Tracker Template: Prompts, Mentions, Citations, and Actions
03 · Human–Agent Collaboration
04 · Comparisons & Alternatives
06 · Enterprise Context & Search
- AI Agent Orchestration: Architecture, State, and Human Control
- What Is Agentic RAG? Architecture, Benefits, and Failure Modes
- RAG Architecture for Enterprise Knowledge Systems
- Hybrid Search Explained: Keyword, Vector, and Graph Retrieval
- Context Engineering vs Prompt Engineering: What Changes in Production
- Enterprise AI Assistant: Capabilities, Controls, and Evaluation
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- Enterprise Search Architecture: Connectors, Indexes, ACLs, and Answers
- Secure Enterprise Search: Permission-Aware Retrieval and Audit
- What Is Enterprise Search? Architecture, Permissions, and Use Cases
- Best Knowledge Management Software for AI-Enabled Teams
- AI Knowledge Management: From Retrieval to Reusable Work
- Enterprise Knowledge Base: Architecture, Governance, and Ownership
- What Is a Context Graph? A Practical Model for AI Workspaces
- Enterprise Knowledge Graph: Entities, Permissions, and Provenance
- AI Agent Builder: What to Evaluate Before You Buy
- Best Enterprise Search Software: An Evaluation Framework
- AI Enterprise Search: How Grounded Answers Work Across Company Data
- Best Glean Alternatives for Enterprise Knowledge and AI Agents
- Glean Pricing Explained: Licenses, AI Usage, and TCO
- Workplace Search vs Enterprise Search: What Teams Actually Need
05 · Workflows & Templates
- Notion Pricing Explained: Plans, AI, and Real Team Cost
- Notion AI Credits Explained: How Custom Agent Costs Add Up
- Notion MCP: Capabilities, Limits, and When to Use It
- Best Notion Alternatives for AI-Native Teams
- What Are Notion Agents? Personal vs Custom Agents
- Notion Custom Agents: Workflow Design, Permissions, and Cost
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- Notion Templates vs Agent Workspaces: What Reusable Work Needs
- Meeting Notes That Become Actions: A Practical AI Workflow
- Meeting Notes Template for Decisions, Owners, and Follow-Ups
- Content Calendar Template for an AI-Assisted Editorial Workflow
- Project Management Template for Human-Agent Teams
- PRD Template for AI-Native Product Teams
- Product Roadmap Template with Evidence and Decision Gates
- Knowledge Base Template for People and AI Agents
- Weekly Planner Template for Human-Agent Work
- To-Do List Template That Preserves Context and Ownership
- Habit Tracker Template for Reviewable AI-Assisted Routines
- Notion vs Confluence for AI Knowledge Work
- Notion vs Google Docs for Human-AI Collaboration
- Notion vs Coda for AI Workflows and Team Knowledge